Triple
T9189140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olecko |
E220535
|
entity |
| Predicate | carPlatesCode |
P1173
|
FINISHED |
| Object |
NOE
NOE is the regional vehicle registration code used on car license plates issued in the town of Olecko in northeastern Poland.
|
E783836
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NOE | Statement: [Olecko, carPlatesCode, NOE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NOE Context triple: [Olecko, carPlatesCode, NOE]
-
A.
NOH
NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
-
B.
NOA
NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
-
C.
NOB
NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
-
D.
NOB
NOB is the abbreviation for Dutch National Opera & Ballet, the leading institution for opera and ballet performances in the Netherlands.
-
E.
NUE
NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NOE Triple: [Olecko, carPlatesCode, NOE]
Generated description
NOE is the regional vehicle registration code used on car license plates issued in the town of Olecko in northeastern Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NOE Target entity description: NOE is the regional vehicle registration code used on car license plates issued in the town of Olecko in northeastern Poland.
-
A.
NOH
NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
-
B.
NOA
NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
-
C.
NOB
NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
-
D.
NOB
NOB is the abbreviation for Dutch National Opera & Ballet, the leading institution for opera and ballet performances in the Netherlands.
-
E.
NUE
NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bd8c5c81909d0cdbcd7410fcee |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c272f508190aade1769c88cf16d |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05cda59f88190bcde5a91aec2f9dd |
completed | April 4, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05ddd28008190b82c42220871e73f |
completed | April 4, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:24 p.m.